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AIIDE
2008
14 years 11 months ago
Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games
We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditio...
Maria Cutumisu, Duane Szafron, Michael H. Bowling,...
80
Voted
ECAI
2010
Springer
14 years 10 months ago
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
Reinaldo A. C. Bianchi, Ramon López de M&aa...
127
Voted
WACV
2012
IEEE
13 years 5 months ago
Simultaneous inference of activity, pose and object
Human movements are important cues for recognizing human actions, which can be captured by explicit modeling and tracking of actor or through space-time low-level features. Howeve...
Furqan M. Khan, Vivek Kumar Singh, Ram Nevatia
AAAI
2004
14 years 11 months ago
Useful Roles of Emotions in Artificial Agents: A Case Study from Artificial Life
In this paper, we discuss the role of emotions in AI and possible ways to determine their utility for the design of artificial agents. We propose a research methodology for determ...
Matthias Scheutz
81
Voted
ACII
2005
Springer
14 years 11 months ago
Case-Based Facial Action Units Recognition Using Interactive Genetic Algorithm
Abstract. This paper proposes a case-based automatic facial AU recognition approach using IGA, which embeds human’s ability to compare into target system. To obtain AU codes of a...
Shangfei Wang, Jia Xue